Association Between Documented Severe Pain and Cognitive Impairment in Home Health Care Patients: Results from the National Outcome and Assessment Information Set Data

Background: Despite the growing importance of home health care (HHC) in the care of older adults with cognitive impairment, limited evidence exists about factors associated with documented severe pain among older adults receiving HHC. Methods: This secondary data analysis used a 5% random national sample of the 2017 national Outcome and Assessment Information Set (OASIS) data. Multivariable Poisson regression model was used to examine the association between documented severe pain, cognitive impairment, and a range of sociodemographic, clinical, and cognitive factors. Results: HHC patients (n = 183,038) were mean age 79.7 years, 61.7% female, and 78.6% non-Hispanic White. In multivariable models, cognitive impairment was associated with lower likelihood of documented severe pain (prevalence ratio [PR] = 0.96, confidence interval [CI] = [0.94-0.98]). Other factors independently associated with less documented severe pain included Hispanic ethnicity (PR = 0.92, CI = [0.89-0.95]), the oldest (≥85 years) groups (PR = 0.65, CI = [0.63-0.66]), male patients (PR = 0.83, CI = [0.82-0.85]), those with a formal diagnosis of Alzheimer's Disease Related Dementias (PR = 0.67, CI = [0.65-0.69]), and patients with verbal- and speech-related difficulty (PR = 0.83, CI = [0.80-0.86]). Patients with history of falls (PR = 1.18, CI = [1.16-1.20]), positive screen on the Patient Health Questionnaire-2 (PR = 1.36, CI = [1.31-1.41]), shortness of breath (PR = 1.14, CI = [1.12-1.14]), anxiety daily (PR = 1.16, CI = [1.14-1.18]), and anxiety daily or more often (PR = 1.40, CI = [1.37-1.43]) were more likely to have documented severe pain. Conclusions: HHC patients with cognitive impairment were less likely to have documented severe pain even with a range of sociodemographic, clinical, functional, and cognitive characteristics were considered. These findings may reflect a link between cognitive impairment missed opportunities for clinicians to provide pain management. Tailored interventions are needed to better assess and manage pain in this vulnerable group of HHC patients.

Infection in home health care: Results from national Outcome and Assessment Information Set data

BACKGROUND

Patients in home health care (HHC), the fastest growing health care sector, are at risk for infection. The existing research on infection in HHC is often limited by small sample sizes, local scope of inquiry, and a lack of current data. There is no national study examining agency-level infection rates.

METHODS

This secondary data analysis used a 20% random sample of the 2010 national Outcome and Assessment Information Set (OASIS) data. An infection case was identified when the HHC patient was hospitalized or received emergency care for respiratory infection, urinary tract infection, intravenous catheter-related infection, wound infection, or deterioration. Proportions of infection cases out of the total number of patients were calculated for the whole sample and for each HHC agency.

RESULTS

The final analysis included 199,462 patients from 8,255 HHC agencies. Approximately 3.5% of patients developed infections during their HHC stay, leading to emergency care treatment or hospitalization. Seventeen percent of unplanned hospitalizations among HHC patients were caused by infections. The agency-level infection rate ranged from 0%-34%, with an average of 3.5%.

CONCLUSION

To our knowledge, this is the first study to examine the proportion of hospitalizations or emergency care treatment caused by infection in HHC and the agency-level infection rate at a national level by using OASIS data. These data demonstrate that infection is a serious problem in HHC, and infection rates varied between agencies. The variance in agency level rates may be caused by differences in infection control policies and practices. Better infection surveillance system in HHC is needed to benchmark quality of care.

Infection in home health care: Results from national Outcome and Assessment Information Set data

BACKGROUND

Patients in home health care (HHC), the fastest growing health care sector, are at risk for infection. The existing research on infection in HHC is often limited by small sample sizes, local scope of inquiry, and a lack of current data. There is no national study examining agency-level infection rates.

METHODS

This secondary data analysis used a 20% random sample of the 2010 national Outcome and Assessment Information Set (OASIS) data. An infection case was identified when the HHC patient was hospitalized or received emergency care for respiratory infection, urinary tract infection, intravenous catheter-related infection, wound infection, or deterioration. Proportions of infection cases out of the total number of patients were calculated for the whole sample and for each HHC agency.

RESULTS

The final analysis included 199,462 patients from 8,255 HHC agencies. Approximately 3.5% of patients developed infections during their HHC stay, leading to emergency care treatment or hospitalization. Seventeen percent of unplanned hospitalizations among HHC patients were caused by infections. The agency-level infection rate ranged from 0%-34%, with an average of 3.5%.

CONCLUSION

To our knowledge, this is the first study to examine the proportion of hospitalizations or emergency care treatment caused by infection in HHC and the agency-level infection rate at a national level by using OASIS data. These data demonstrate that infection is a serious problem in HHC, and infection rates varied between agencies. The variance in agency level rates may be caused by differences in infection control policies and practices. Better infection surveillance system in HHC is needed to benchmark quality of care.